Stochastic cross-layer resource allocation for wireless networks using orthogonal access: Optimality and delay analysis

Efficient design of wireless networks requires implementation of cross-layer algorithms that exploit channel state information. Capitalizing on convex optimization and stochastic approximation tools, this paper develops a stochastic algorithm that allocates resources at network, link, and physical layers so that a sum-utility of the average end-to-end rates is maximized. Focus is placed on networks where interference is strong and nodes transmit orthogonally over a set of parallel channels. Convergence of the developed stochastic schemes is characterized, and the average queue delays are obtained in closed form.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Antonio G. Marqués, Georgios B. Giannakis, Javier Ramos
• Keywords: Average End-to-end Rates, Developed Stochastic Schemes, ICASSP 2010, Signal Processing, Stochastic Approximation Tools